Nathan Ng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Data Complexity

Patient Outcomes

Gene Expression Profiling

Frequently Asked

Top Venues

Publications

Nathan Ng, Roger B. Grosse, Marzyeh Ghassemi
Measuring Stochastic Data Complexity with Boltzmann Influence Functions. CoRR (2024)
Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
Improving Black-box Robustness with In-Context Rewriting. CoRR (2024)
Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
Blind Biological Sequence Denoising with Self-Supervised Set Learning. CoRR (2023)
Abel Souza, Nathan Ng, Tarek F. Abdelzaher, Don Towsley, Prashant J. Shenoy
Unlocking Efficiency: Understanding End-to-End Performance in Distributed Analytics Pipelines. MILCOM (2023)
Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger B. Grosse
If Influence Functions are the Answer, Then What is the Question? NeurIPS (2022)
Nathan Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
Predicting Out-of-Domain Generalization with Local Manifold Smoothness. CoRR (2022)
Nathan Ng, Hung Le, Marco Serafini
Tuning the Tail Latency of Distributed Queries Using Replication. CoRR (2022)
Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger B. Grosse
If Influence Functions are the Answer, Then What is the Question? CoRR (2022)
Muhamed Wael Farouq, Wadii Boulila, Zain U. Hussain, Asrar Rashid, Moiz Ali Shah, Sajid Hussain, Nathan Ng, Dominic Ng, Haris Hanif, M. Guftar Shaikh, Aziz Sheikh, Amir Hussain
A Novel Coupled Reaction-Diffusion System for Explainable Gene Expression Profiling. Sensors 21 (6) (2021)
Stephen R. Knight, Nathan Ng, Athanasios Tsanas, Kenneth McLean, Claudia Pagliari, Ewen M. Harrison
Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review. npj Digit. Medicine 4 (2021)
Samuel Broadbent, Habiba Kadiri, Allysa Lumley, Nathan Ng, Kirsten Wilk
Sharper bounds for the Chebyshev function θ (x). Math. Comput. 90 (331) (2021)
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. CoRR (2020)
Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo
Improving Dialogue Breakdown Detection with Semi-Supervised Learning. CoRR (2020)
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. EMNLP (1) (2020)
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
Facebook FAIR's WMT19 News Translation Task Submission. CoRR (2019)
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions. MLHC (2019)
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
Facebook FAIR's WMT19 News Translation Task Submission. WMT (2) (2019)
Nathan Ng, Peipei Yi, Zhiwei Zhang, Byron Choi, Sourav S. Bhowmick, Jianliang Xu
FGreat: Focused Graph Query Autocompletion. ICDE (2019)
Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli
Simple and Effective Noisy Channel Modeling for Neural Machine Translation. CoRR (2019)
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. NAACL-HLT (Demonstrations) (2019)
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. CoRR (2019)
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions. CoRR (2019)
Guozhong Li, Nathan Ng, Peipei Yi, Zhiwei Zhang, Byron Choi
Answering the Why-Not Questions of Graph Query Autocompletion. DASFAA (1) (2018)
Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
Predicting Surgery Duration with Neural Heteroscedastic Regression. CoRR (2017)